Workspace Registration and Collision Detection for Industrial Robotics Applications

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Motion planning for robotic manipulators relies on precise knowledge of the environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region growing segmentation and VCCS algorithm. Subsequently the point clusters are approximated. The aim of the present paper is to compare different sensors, to illustrate the process from detection to the finished collision environment and to detect collisions between the robot and this environment.
Original languageEnglish
Title of host publicationAIRoV – The First Austrian Symposium on AI, Robotics, and Vision, 25.–27.3.2024, Innsbruck
Editors Innsbruck University Press
Number of pages8
Publication statusPublished - Mar 2024

Fields of science

  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202035 Robotics
  • 203013 Mechanical engineering

JKU Focus areas

  • Digital Transformation

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